GCP Data Engineer

Job Title: GCP Data Engineer 

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore , Hyderabad , Chennai  

• Min 8-12 years of hands-on experience in GCP Data Engineering designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record.


• Expertise in GCP Data Products e.g.  BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer, Apache Kafka


• Good hands on experience to Build Batch Data and Streaming Data Pipelines on Google Cloud


• Strong coding/scripting experience developed in a commercial/industry setting (Python, SQL, Java, Scala or Go). Strong SQL ability to write complex queries is must;


• Strong working experience with operational data stores, data warehouse, big data technologies and data lakes


• Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop)


• Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS.


• Experience working with (Real Time streaming), such as Kafka technologies.


• Experience and knowledge of automation and CI/CD – Jenkins, GitHub & Spinnaker. 


• Clear understanding of data structures, algorithms, software design, design patterns and core programming concepts.


• Competent in client handling and lead the feature team to deliver outcome;

And any experience of these would be really useful:

• Certification in GCP “Cloud Architect”, “Cloud Developer”, “Professional Data Engineer”

Certification in Apache Kafka (CCDAK)